Finance and accounting · Updated

Pricing analyst CV

What to include on a pricing analyst CV for UK roles: the analytical and commercial keywords employers use, an example profile, achievements and interview questions.

Check my CV against a pricing analyst advert

Pricing analysts do the analysis that pricing decisions are built on: competitor benchmarks, elasticity estimates, discount reviews, margin reporting and price change modelling. It's a great entry point into commercial finance. Your CV needs to show strong data skills and an instinct for what moves revenue and margin.

What employers look for

  • Data handling. Large datasets of transactions, products and customers. SQL and advanced Excel are the most commonly requested skills.
  • Commercial understanding. Knowing why a price matters, not just calculating it.
  • Accuracy. Pricing errors cost real money, so attention to detail is tested.
  • Clear communication. Turning analysis into recommendations sales and commercial teams can act on.
  • Sector knowledge. Insurance pricing analyst roles often need statistical modelling (GLMs, R or Python) and sometimes actuarial study; retail and B2B roles lean more on commercial analysis.

Numerate degrees (maths, economics, statistics, finance) are common entry routes. Part-qualified CIMA or ACCA can help in finance-led pricing teams.

Keywords from pricing analyst adverts

  • Pricing analysis, price optimisation, price elasticity
  • Competitor pricing, market benchmarking, price monitoring
  • Margin analysis, discount analysis, promotional effectiveness
  • Price change modelling, scenario analysis, what-if analysis
  • SQL, advanced Excel, Power BI, Tableau, Python, R
  • GLMs, predictive modelling, rating (insurance)
  • Data quality, reporting, dashboards
  • Commercial teams, stakeholder management, recommendations

A typical advert, decoded

A paraphrased example of what pricing analyst adverts usually say, and what each line is really asking for.

The advert saysWhat it really means
"Monitor competitor pricing"Part of the role is regular benchmarking. Mention any trackers you've built.
"Evaluate promotions"They want to know which deals actually work. Show promotional analysis you've done.
"Advanced Excel and SQL"Expect a technical test on both.
"Support price changes"You'll model the margin effect of changes and check the price files.
"Commercially minded"They want recommendations, not just numbers. Show the decision your analysis led to.

Example CV profile

Pricing analyst in grocery retail, supporting pricing and promotions across 3,000 products. I build weekly competitor price reports, model the margin impact of price changes, and evaluate promotions using SQL and Power BI. My promotional review last year led to the removal of 40 loss-making deals, protecting £600k of margin.

Example achievements

Use your own figures.

  • Evaluated 18 months of promotions using SQL, identifying 40 deals that lost margin without lifting volume; removing them protected £600k a year.
  • Built an automated competitor price tracker in Power BI covering 3,000 lines, replacing a manual weekly check.
  • Modelled price elasticity for 12 core categories, informing where the business held price during a cost inflation period.
  • Produced the margin impact model for the annual price review, used by the commercial director to sign off changes.
  • Cleaned and restructured the product cost dataset, correcting margin reporting on 300 lines.
  • Presented monthly pricing insight to category managers, with clear recommendations for each category.

Common mistakes

  • Listing tools without outcomes. "SQL, Python, Tableau" is a start. What did you build and what happened?
  • Not stating scale. Number of products, customers or revenue covered helps the reader judge your experience.
  • Missing the commercial angle. Show you understand why the analysis mattered to margin or volume.
  • Overclaiming modelling. If you've used GLMs or elasticity models, be ready to explain them in detail.

Interview questions to prepare for

  • How would you measure whether a promotion worked?
  • What is price elasticity, and how would you estimate it from our sales data?
  • Tell me about an analysis you did that changed a commercial decision.

See all 12 pricing analyst interview questions, with why interviewers ask each one and what a strong answer covers.

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